Proven-efficacious autism interventions are complicated to deliver intensive and expensive. As a result community practice rarely mirrors the evidence base for autism intervention. This research-to-practice gap reflects a fundamental challenge to traditional university-based intervention research which rarely examines the effectiveness (as opposed to efficacy) of interventions and even less commonly examines strategies to implement interventions in community settings so that they sustain. Challenges to implementation are exacerbated among in poor school districts; these districts which provide the bulk of intervention to children with autism rarely have the capacity to deliver proven-efficacious interventions as they were designed. Our AIR-B network has developed and tested interventions to address autism's core symptoms. A central part of our mission is to broaden the diversity of research contexts to assess generalizability of our interventions. We now move from testing interventions to partnering with a diverse array of school districts and other community settings to develop and test strategies to ensure that these interventions are effectively implemented in community settings.
Goals and objectives:
To identify barriers and to advance strategies for the deployment of evidence-based interventions for core features of autism effectively and sustainably in under-resourced schools and communities with highly diverse and underserved children. METHODOLOGY: Using innovative techniques from implementation science and community-based participatory research we will establish partnerships with local schools involve community members (administration teachers support staff parents) in identifying and responding to priorities and develop manualized protocols for deployment and training. We will then deploy the selected evidence-based interventions and evaluate the effects of the deployment strategies on community practices and child outcomes. In other Network activities we will study the use of efficacious interventions with under-served children with ASD through analysis of our archived AIR-B I data as well as through new initiatives driven by our collaborating partners. Coordination:
In this competing continuation of AIR-B we continue our original AIR-B collaborations with: University of California Los Angeles (UCLA) as the lead site University of Michigan; University of Washington; Florida State University; and Kennedy Krieger Institute. We also propose two new partners the University of Pennsylvania and University of Rochester. The PIs at these sites form a team that is at the forefront in the areas of autism screening identification and intervention development and implementation research. Additionally we will work closely with other networks including LEND DBP AIR-P and ATN many already connected with our team of collaborating research entities. Evaluation:
Quantitative and qualitative implementation science methods will be employed to test the effectiveness and sustainability of evidence based practices in community settings. Additional studies will employ other methodologies to validate tools test efficacy and barriers to access in archived AIR-B data (based on randomized controlled trials) as well as new data collection in pilot projects to be determined. Annotation: The proposed Network will provide a model for moving evidence-based psychosocial interventions for children with autism from research to under-resourced practice settings. If successful the Network will increase the use of proven-effective interventions for children with autism improving outcomes for these children and increase inclusion of traditionally under-represented research participants.
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